A hyper-personalized interactive learning system and its method of operation thereof

Abstract

The present invention relates to a method and system that facilitates online education system providing specialized, customized, or content specific problem solving. The present invention relates to a complete learning system with at least three integrated components—learning, assessment and revision, each component being hyper-personalized to the finest level. The learning system does not use pre-recorded videos but instead generates audio-visual explanations, thereby allowing any problem to be solved and allowing every explanation to be hyper-personalized in terms of pace and content.

We claim: 
     
         1 . A hyper-personalized interactive learning system comprising:
 a communication device, comprising:
 a display unit for displaying the contents of a learning system; 
 a plurality of Input device including: 
   an image capturing unit configured to capture input from the user
 in the form of personalized questions; 
 a microphone configured to provide audio input from the user; 
 a plurality of I/O Ports providing connection between peripheral and communication device; 
 a storage unit comprising of a plurality of non-volatile memory for storing machine learning and AI algorithms; 
   a processing unit for analyzing the
 a personalized questions provided by the user: the processing unit comprising a software module for acquiring, analyzing, and representing the data related to the learning system, said software module comprising:
 a learning module for hyper-personalized learning: 
 a problem solving module configured to generate an audio-visual explanation in response to the personalized questions provided by the user said audio-visual explanation is generated and the system is not merely playing a pre-recorded video: 
 a content replay module to replay an explanation generated by the problem solving module, characterized in that each of such explanation generated is hyper-personalized for pace and content based on the request and comfort of the user: 
 an assessment module for analysing the progression of learning by the user, starting with an input of lower difficulty to gradually progress to the input of higher level of difficulty, characterized in that the assessment hyper-personalization module checks a conclusion and corresponding intermediate steps involved in arriving at the conclusion for the input by the user; and 
 a revision module for revising the explanations sought by the user seeking repetition of explanation generated by the problem solving module: 
 
 a networking unit for transferring and receiving data on the internet between a plurality of communication devices of different users; and 
 a speaker for output from the learning system. 
   
     
     
         2 . The system as claimed in  claim 1 , wherein the system is a hand held device. 
     
     
         3 . A method for providing hyper-personalized interactive learning comprising the steps of:
 providing input through the input device to specify a question or to refresh the basic concepts by a user to provide any one of the following to the user:
 to provide conceptual knowledge to user through a learning module; 
 to generate and provide solution including audio-visual explanation to any analytical problem of the user through a problem solving module; and 
 displaying audio visual explanation of the solution to the inputs provided by the user: 
   providing inputs through the input device by a user for entering a request to replay personalized explanation by the content replay module selected from:
 a slow pace replay; 
 a fast pace replay; 
 same pace replay; or 
 moving to next question: 
   configuring audio-visual explanation for pace and content based on user request and replaying the configured solution;   assessing the knowledge of the user through an assessment module configured to provide personalized questions based on comfort level of the user;   checking the sequential steps utilized by the user in solving a problem by an assessment hyper-personalization module; and   providing personalized assistance in revision of the required subject matter to the user through a revision module.   
     
     
         4 . The method as claimed in  claim 3 , wherein the hyper-personalized interactive learning comprises the following steps:
 switching on the hyper-personalized interactive learning system;   specifying the problem to be solved through input module; and   providing personalized audio-visual solution to the problem specified by the user through problem solving module.   
     
     
         5 . The method as claimed in  claim 3 , wherein the working of input comprises the following steps:
 capturing the problem specified by the user through camera of the hand held device;   transferring the image to processing device; and   assessing the image for providing solution.   
     
     
         6 . The method as claimed in  claim 3 , wherein the problem solving comprises the following steps:
 capturing the snapshot of the problem specified by the user through camera of the hand held device;   displaying generated audio-visual explanation on the screen;   receiving input from user regarding personalization for replaying the solution;   replaying personalized content as requested by user and establishing proficiency level of user based on the requests; and   providing/specifying another problem by the user to be solved through the camera of hand held device.   
     
     
         7 . The method as claimed in  claim 4 , wherein assessment comprises the following steps:
 displaying a personalized problem to the user;   providing hint to solve the problem based on the user's requirement;   assessing the final solution and intermittent steps provided by the user as correct or incorrect;   displaying the solution of the problem provided to the user with the explanation, in case solution provided by user is incorrect or user requests displaying of the solution;   establishing proficiency level of user based on interactions;   personalizing level of difficulty of next problems based on that; and   providing next problem to be solved by the user.